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Fix spell mistakes #33149

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2 changes: 1 addition & 1 deletion examples/flax/language-modeling/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -221,7 +221,7 @@ python run_clm_flax.py \
Training should converge at a loss and perplexity
of 3.24 and 25.72 respectively after 20 epochs on a single TPUv3-8.
This should take less than ~21 hours.
Training statistics can be accessed on [tfhub.de](https://tensorboard.dev/experiment/2zEhLwJ0Qp2FAkI3WVH9qA).
Training statistics can be accessed on [tfhub.dev](https://tensorboard.dev/experiment/2zEhLwJ0Qp2FAkI3WVH9qA).

For a step-by-step walkthrough of how to do causal language modeling in Flax, please have a
look at [this](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/causal_language_modeling_flax.ipynb) google colab.
Expand Down
2 changes: 1 addition & 1 deletion examples/flax/summarization/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -30,6 +30,6 @@ python run_summarization_flax.py \
--push_to_hub
```

This should finish in 37min, with validation loss and ROUGE2 score of 1.7785 and 17.01 respectively after 6 epochs. training statistics can be accessed on [tfhub.de](https://tensorboard.dev/experiment/OcPfOIgXRMSJqYB4RdK2tA/#scalars).
This should finish in 37min, with validation loss and ROUGE2 score of 1.7785 and 17.01 respectively after 6 epochs. training statistics can be accessed on [tfhub.dev](https://tensorboard.dev/experiment/OcPfOIgXRMSJqYB4RdK2tA/#scalars).

> Note that here we used default `generate` arguments, using arguments specific for `xsum` dataset should give better ROUGE scores.
4 changes: 2 additions & 2 deletions examples/legacy/benchmarking/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -22,5 +22,5 @@ If you would like to list benchmark results on your favorite models of the [mode

| Benchmark description | Results | Environment info | Author |
|:----------|:-------------|:-------------|------:|
| PyTorch Benchmark on inference for `google-bert/bert-base-cased` |[memory](https://github.com/patrickvonplaten/files_to_link_to/blob/master/bert_benchmark/inference_memory.csv) | [env](https://github.com/patrickvonplaten/files_to_link_to/blob/master/bert_benchmark/env.csv) | [Partick von Platen](https://github.com/patrickvonplaten) |
| PyTorch Benchmark on inference for `google-bert/bert-base-cased` |[time](https://github.com/patrickvonplaten/files_to_link_to/blob/master/bert_benchmark/inference_time.csv) | [env](https://github.com/patrickvonplaten/files_to_link_to/blob/master/bert_benchmark/env.csv) | [Partick von Platen](https://github.com/patrickvonplaten) |
| PyTorch Benchmark on inference for `google-bert/bert-base-cased` |[memory](https://github.com/patrickvonplaten/files_to_link_to/blob/master/bert_benchmark/inference_memory.csv) | [env](https://github.com/patrickvonplaten/files_to_link_to/blob/master/bert_benchmark/env.csv) | [Patrick von Platen](https://github.com/patrickvonplaten) |
| PyTorch Benchmark on inference for `google-bert/bert-base-cased` |[time](https://github.com/patrickvonplaten/files_to_link_to/blob/master/bert_benchmark/inference_time.csv) | [env](https://github.com/patrickvonplaten/files_to_link_to/blob/master/bert_benchmark/env.csv) | [Patrick von Platen](https://github.com/patrickvonplaten) |